Bronchoalveolar lavage proteomics in patients with suspected lung cancer

Detalhes bibliográficos
Autor(a) principal: Carvalho, A.S.
Data de Publicação: 2017
Outros Autores: Cuco, C.M., Lavareda, C., Miguel, F., Ventura, M., Almeida, S., Pinto, P., de Abreu, T.T., Rodrigues, L.V., Seixas, S., Bárbara, C., Azkargorta, M., Elortza, F., Semedo, J., Field, J.K., Mota, L., Matthiesen, R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.18/4803
Resumo: Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.
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spelling Bronchoalveolar lavage proteomics in patients with suspected lung cancerLung CancerProteomicsLung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.All experiments including MS analysis were supported by Fundação para a Ciência e Tecnologia project EXPL/ DTP-PIC/0616/2013. RM is supported by FCT investigator program 2012 (IF/01002/2012). ASC is supported by grant SFRH/BPD/85569/2012 funded by Fundação para a Ciência e Tecnologia.Nature Publishing GroupRepositório Científico do Instituto Nacional de SaúdeCarvalho, A.S.Cuco, C.M.Lavareda, C.Miguel, F.Ventura, M.Almeida, S.Pinto, P.de Abreu, T.T.Rodrigues, L.V.Seixas, S.Bárbara, C.Azkargorta, M.Elortza, F.Semedo, J.Field, J.K.Mota, L.Matthiesen, R.2017-11-03T15:17:19Z2017-02-072017-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.18/4803engSci Rep. 2017 Feb 7;7:42190. doi: 10.1038/srep42190.2045-232210.1038/srep42190info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-20T15:40:29Zoai:repositorio.insa.pt:10400.18/4803Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:39:30.615687Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Bronchoalveolar lavage proteomics in patients with suspected lung cancer
title Bronchoalveolar lavage proteomics in patients with suspected lung cancer
spellingShingle Bronchoalveolar lavage proteomics in patients with suspected lung cancer
Carvalho, A.S.
Lung Cancer
Proteomics
title_short Bronchoalveolar lavage proteomics in patients with suspected lung cancer
title_full Bronchoalveolar lavage proteomics in patients with suspected lung cancer
title_fullStr Bronchoalveolar lavage proteomics in patients with suspected lung cancer
title_full_unstemmed Bronchoalveolar lavage proteomics in patients with suspected lung cancer
title_sort Bronchoalveolar lavage proteomics in patients with suspected lung cancer
author Carvalho, A.S.
author_facet Carvalho, A.S.
Cuco, C.M.
Lavareda, C.
Miguel, F.
Ventura, M.
Almeida, S.
Pinto, P.
de Abreu, T.T.
Rodrigues, L.V.
Seixas, S.
Bárbara, C.
Azkargorta, M.
Elortza, F.
Semedo, J.
Field, J.K.
Mota, L.
Matthiesen, R.
author_role author
author2 Cuco, C.M.
Lavareda, C.
Miguel, F.
Ventura, M.
Almeida, S.
Pinto, P.
de Abreu, T.T.
Rodrigues, L.V.
Seixas, S.
Bárbara, C.
Azkargorta, M.
Elortza, F.
Semedo, J.
Field, J.K.
Mota, L.
Matthiesen, R.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Nacional de Saúde
dc.contributor.author.fl_str_mv Carvalho, A.S.
Cuco, C.M.
Lavareda, C.
Miguel, F.
Ventura, M.
Almeida, S.
Pinto, P.
de Abreu, T.T.
Rodrigues, L.V.
Seixas, S.
Bárbara, C.
Azkargorta, M.
Elortza, F.
Semedo, J.
Field, J.K.
Mota, L.
Matthiesen, R.
dc.subject.por.fl_str_mv Lung Cancer
Proteomics
topic Lung Cancer
Proteomics
description Lung cancer configures as one of the deadliest types of cancer. The future implementation of early screening methods such as exhaled breath condensate analysis and low dose computed tomography (CT) as an alternative to current chest imaging based screening will lead to an increased burden on bronchoscopy units. New approaches for improvement of diagnosis in bronchoscopy units, regarding patient management, are likely to have clinical impact in the future. Diagnostic approaches to address mortality of lung cancer include improved early detection and stratification of the cancers according to its prognosis and further response to drug treatment. In this study, we performed a detailed mass spectrometry based proteome analysis of acellular bronchoalveolar lavage (BAL) fluid samples on an observational prospective cohort consisting of 90 suspected lung cancer cases which were followed during two years. The thirteen new lung cancer cases diagnosed during the follow up time period clustered, based on liquid chromatography-mass spectrometry (LC-MS) data, with lung cancer cases at the time of BAL collection. Hundred and thirty-tree potential biomarkers were identified showing significantly differential expression when comparing lung cancer versus non-lung cancer. The regulated biomarkers showed a large overlap with biomarkers detected in tissue samples.
publishDate 2017
dc.date.none.fl_str_mv 2017-11-03T15:17:19Z
2017-02-07
2017-02-07T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.18/4803
url http://hdl.handle.net/10400.18/4803
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Sci Rep. 2017 Feb 7;7:42190. doi: 10.1038/srep42190.
2045-2322
10.1038/srep42190
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dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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